# Module: tf.lite

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| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/lite) |

Public API for tf.lite namespace.

## Modules

[`experimental`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/lite/experimental) module: Public API for tf.lite.experimental namespace.

## Classes

[`class Interpreter`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/lite/Interpreter): Interpreter interface for TensorFlow Lite Models.

[`class OpsSet`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/lite/OpsSet): Enum class defining the sets of ops available to generate TFLite models.

[`class Optimize`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/lite/Optimize): Enum defining the optimizations to apply when generating tflite graphs.

[`class RepresentativeDataset`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/lite/RepresentativeDataset): Representative dataset to evaluate optimizations.

[`class TFLiteConverter`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/lite/TFLiteConverter): Converts a TensorFlow model into TensorFlow Lite model.

[`class TargetSpec`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/lite/TargetSpec): Specification of target device.